Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification of Current transformer saturation is so important. In this paper, an Artificial Neural Network...

Automatic Generation Control (AGC); Proportional Integral Derivative Controller; Gravitational Search Algorithm (GSA); Governor dead-band nonlinearity; Generation Rate Constraint (GRC); Sensitivity Abstract An attempt is made for the effective application of Gravitational Search Algorithm (GSA) to optimize PI/PIDF controller parameters in Automatic Generation Control (AGC) of interconnected pow...

Developing optimal flocking control procedure is an essential problem in mobile sensor networks (MSNs). Furthermore, finding the parameters such that the sensors can reach to the target in an appropriate time is an important issue. This paper offers an optimization approach based on metaheuristic methods for flocking control in MSNs to follow a target. We develop a non-differentiable optimizati...

In this paper, a warning system is constructed using Gravitational Search Algorithm Support Vector Regression (GSA-SVR). The gravitational search algorithm (GSA) is used to optimize the regularization parameter of Support Vector Regression (SVR) and is compared to particle swarm optimization. First, the history data of each index are normalized to (0,1). Then, the weights of each index are dete...

This paper proposes an extension of the Gravitational Search Algorithm (GSA) to multi-objective optimization problems. The new algorithm, called Non-dominated Sorting GSA (NSGSA), utilizes the non-dominated sorting concept to update the gravitational acceleration of the particles. An external archive is also used to store the Pareto optimal solutions and to provide some elitism. It also guides ...

Automatic voltage regulator; Gravitational search algorithm; Load tracking performance; Opposite number; Optimization; Sugeno fuzzy logic Abstract The design and performance analysis of a Sugeno fuzzy logic (SFL) controller for an autonomous power system model is presented in this paper. In gravitational search algorithm (GSA), the searcher agents are collection of masses and their interactions...

Due to their small size, low weight, low cost and low energy consumption, MEMS (Micro Electro-Mechanical Systems) accelerometers have achieved great commercial success in recent decades. The objective of this paper is to find the optimum design for a typical MEMS accelerometer, which satisfies a set of given constraints. Due to the complex nature of the problem, a gravitational search algorithm...

In this study an effective method for nonlinear constrained optimization of shallow foundation is presented. A newly developed heuristic global optimization algorithm called Gravitational Search Algorithm (GSA) is introduced and applied for the optimization of foundation. The algorithm is classified as random search algorithm and does not require initial values and uses a random search instead ...

An integrated Neural Network and Gravitational Search Algorithm (HNNGSA) are used to solve Blasius differential equation. To aim this purpose, GSA technique is applied to train a multi-layer perceptron neural network, which is used as approximation solution of the Blasius differential equation. A trial solution of the differential equation is written as sum of two parts. The first part satisfie...